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People Management: Startup Teams Should Dip but not Skip

Both Sides of the Table

I didn’t lead the calls – our VP of Sales or country managers did – but I listened in to hear about deal specific dynamics so when it came time for forecasting between the VP of Sales and myself I had direct knowledge of the deals from having heard the sales reps talk about their individual pipelines.

CTO Hire 308
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73.6% of all Statistics are Made Up

Both Sides of the Table

Fortunately I was mostly a technology consultant, which meant that I coded computers, designed databases and planned system integration projects. One of our core tasks was “market analysis,&# which consistent of: market sizing, market forecasts, competitive analysis and then instructing customers on which direction to take.

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Are You In Control Of Your Business?

YoungUpstarts

When you started out, a spreadsheet may have been a sufficient system for managing your database, inventory and finances, after all, it was likely a system that you set up and understood. Does your spreadsheet allow you to see trends and forecast at a glance? The demise of the spreadsheet. Up with the trends.

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DataRails Hires David Rosenberg as New VP of Customer Success

The Startup Magazine

DataRails allows companies to manage their data in Excel, operating as a front end to a cloud database , which makes it far more agile and easier to create accurate models.

Hiring 172
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This Week in VC with Dana Settle of Greycroft Partners

Both Sides of the Table

Founded in November 2007 in New York City by Alexis Maybank and Kevin Ryan (co-founder of DoubleClick); CEO is Susan Lyne (ex-CEO Marta Stewart Living Omnimedia) Revenue estimates: $50mm in 2008; $170mm in 2009 (versus budget of $150mm); $450mm forecasted for 2010. Note that these are “gross” revenue numbers.

Partner 240
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What Happens When Data Quality Goes Wrong And How To Fix It

YoungUpstarts

For example, if a sales manager is working with bad data, he won’t be able to make simple forecasts but will have to first sift through the data and track down the numbers to validate the data first. Any good data quality software can perform many tasks to audit the database. Productivity.

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Lessons Learned: Five Whys

Startup Lessons Learned

Because five whys kept turning up a few key metrics that were hard to set static thresholds for, we even had a dynamic prediction algorithm that would make forecasts based on past data, and fire alerts if the metric ever went out of its normal bounds. You can even read a cool paper one of our engineers wrote on this approach).